This role has strong human-centric elements that are difficult to automate. While AI will change how work is done, the core responsibilities are likely to remain with humans.
Electrical Lineworker faces a 34% AI displacement risk. This role has strong human-centric elements that are difficult to automate. The median salary is $92,560, with AI projected to shift compensation by +8%. Our analysis covers timeline, adaptation strategies, and skills that remain valuable.
Source: What About AI? Career Assessment ·
Energy & Utilities
AI isn't replacing jobs—people using AI are replacing people who don't
What this means: AI is starting to change how this job is done. Workers who learn AI tools now will have an advantage as the shift accelerates.
Complete job elimination risk
When major changes expected
Primary automation technology
Analysis updated February 2026
"AI is revolutionizing energy grid asset maintenance, helping U.S. power companies identify and address problems before they even occur, but the physical repair and restoration work remains fundamentally human."
This role has strong human-centric elements that are difficult to automate. While AI will change how work is done, the core responsibilities are likely to remain with humans.
Growing grid modernization and AI-driven infrastructure demand are increasing need for skilled lineworkers. AI augments diagnostics but cannot replace physical fieldwork, driving wage premiums due to labor shortages and expanding workloads from data center and EV charging buildouts.
AI will be used by grid operators to monitor transmission lines, isolate faults, and predict supply-demand fluctuations faster than human operators, but physical linework remains essential
Source: RAND Corporation
Nearly half of identified AI grid applications are high-impact and ready to deploy today, with an additional 40% requiring further investment before full deployment
Source: U.S. Department of Energy
Physical jobs in unstructured environments face low automation potential; skilled electrical worker shortages may actually constrain AI infrastructure buildout
Source: Goldman Sachs Research
Deployed ML-based predictive maintenance across 60 power plants analyzing 30,000+ sensors, achieving 36% reduction in unplanned downtime and $3.5M annual maintenance savings
Built AI-powered customer lakehouse platform consolidating data from 9 million customers and implemented smart meter data management system for predictive grid analytics
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